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 Community
1
sha256
stringlengths
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Perl
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#!/usr/bin/perl -wT use strict; use Getopt::Std; $Getopt::Std::STANDARD_HELP_VERSION = 1; ################################################################################################### ### script to modify VCF files and computes AB for homozygous sites and indels. ### ### also annotates LowVariantFreq modif...
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Perl
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#!/usr/bin/perl use warnings; use strict; use FindBin qw($RealBin); use Getopt::Long; ##################################################################################### # Copyright Copyright 2010-17 Simon Andrews # # ...
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Perl
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#!/usr/bin/env perl # # # export2sam.pl converts GERALD export files to SAM format. # # # ########## License: # # The MIT License # # Original SAMtools work copyright (c) 2008-2009 Genome Research Ltd. # Modified SAMtools work copyright (c) 2010 Illumina, Inc. # # Permission is hereby granted, free of charge, to any pe...
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MAX_MIP = 12
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XXX = YYY = ZZZ =
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version = '0.0.16'
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Python
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from .jPCA import *
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"""Main module."""
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from .dtos import *
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is_thin_client = True
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__author__ = 'intsco'
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#@krishna Somandepalli
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__version__ = u'0.1.4'
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Python
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from Analyses import *
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Python
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"""Models for task2."""
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Python
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from .networks import *
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from .consistify import *
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Python
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from .sphgen import SphGen
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def test_test(): pass
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# flake8: noqa __all__ = []
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"""Code for ADT Network."""
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Python
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"""The Geometry Package."""
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Python
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from .EAGS_function import *
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Python
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"""Experiments for task2."""
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Python
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from .gui import HNNGUI, launch
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Python
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# deeponet_acoustics/__init__.py
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from .predictive_coding import *
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from .builder import DeepD3_Model
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from .navec import Navec # noqa
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"""Unit test package for fimpy."""
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"""Code for Models and Training."""
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Python
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"""Required for pytest coverage."""
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from .chunked_job import ChunkedJob
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from deeperwin.cli import main main()
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from .training_engine import Trainer
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from calibration import temp_scaling
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from .run import run __all_ = ['run']
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# Test package for deeponet_acoustics
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""" Image Classification Datasets """
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Python
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from ._cubic import PchipInterpolator
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Python
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"""Create empty models for REINVENT"""
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Python
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import torch print(torch.__version__)
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Python
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import matplotlib matplotlib.use('Agg')
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"""Unit test package for pymonntorch."""
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Python
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from .complex import plot as plot_complex
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"""app-pytorch: A Flower / PyTorch app."""
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from .scorer import * from .results import *
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from nnunetpaper.data.utils import read_json
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"""Module for exposing datasets to users."""
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"""Notebook support""" from .utils import *
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"""The Stratified Space Geometry Package."""
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# -*- coding: utf-8 -*- __version__ = '0.6.2'
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"""The scoring functionality for REINVENT."""
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from sleepy.gui.builder.core import Builder
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class UserEventExists(Exception): pass
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from .cross import Cross from .text import Text
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from .preprocessing import AbstractPreprocessor
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''' Graphical User Interface Based on PyQt5 '''
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from .conf_params import * from .enums import *
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from .Reinvent import main_script main_script()
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# utils version: 0.0.3 (latest updated: 20230111)
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"""Aggregator functions""" from .means import *
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__version__ = "0.3.18" __all__ = ["__version__"]
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from .get_pair_generator import get_pair_generator
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from .preprocess import main_script main_script()
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from .rdkit_standard import * from .custom import *
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from .jtvae import JTVAE __all__ = [ 'JTVAE', ]
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# Empty file to make this directory a Python package
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class EventTypeNotSupported(Exception): pass
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from .environment import Environment, GymEnvironment
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from .pronet import ProNet __all__ = [ 'ProNet' ]
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from . import rdkit_smiles from . import lilly_smiles
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from .smixup import smixup __all__ = [ 'smixup' ]
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from .model_state import * from .work_package import *
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from .higher_order_spectrum import HigherOrderSpectrum
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from pynidaqmxegs.do.softwareBasic import softwareBasic
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from .comenet import ComENet __all__ = [ 'ComENet' ]
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from .graphdf import GraphDF __all__ = [ 'GraphDF' ]
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from . import plotting, visualization, pipeline_analysis
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""" Smithers init """ __all__ = [] from .meta import *
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import setuptools from distutils.core import setup setup()
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''' Module providing a timer. ''' from .timer import Timer
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from .schnet import SchNet __all__ = [ 'SchNet' ]
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from Networks import gru2_bohb from Networks import gru_bohb
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from sleepy.gui.core import Gui gui = Gui() gui.run()
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"""Main module for rbo.""" from .rbo import RankingSimilarity
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from sleepy.gui.tagging.control.core import TaggingControl
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from sleepy.processing.algorithms.BiLSTM.BiLSTM import BiLSTM
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from .fairgraph_dataset import POKEC, NBA __all_ = [POKEC,NBA]
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from .graphaf import GraphAF __all__ = [ 'GraphAF' ]
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import os os.environ["TORCH_FORCE_NO_WEIGHTS_ONLY_LOAD"] = "1"
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from os.path import dirname from django.db import models
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from sleepy.processing.algorithms.custom.custom import Custom
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from sleepy.processing.algorithms.dtw1nn.dtw1nn import DTW1NN
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from .main import SegmentationGUI __all__ = ["SegmentationGUI"]
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from .data_io import * from .dataset import PretrainSet, TargetSet
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from sleepy.gui.tagging.view.core import NullView, TaggingView
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from .symmetric_edge_mask import symmetric_edge_mask_indirect_graph
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def learning_rate_scheduler_constructor( name, opt, ): pass
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from tests.models.integration_tests.linkinvent.model_tests import *